Geng Song

17 total papers · 491 total citations
13 papers, 406 citations indexed

About

Geng Song is a scholar working on Gastroenterology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Geng Song has authored 13 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Gastroenterology, 3 papers in Molecular Biology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Geng Song's work include Gastrointestinal motility and disorders (6 papers), Biochemical Analysis and Sensing Techniques (2 papers) and Acupuncture Treatment Research Studies (2 papers). Geng Song is often cited by papers focused on Gastrointestinal motility and disorders (6 papers), Biochemical Analysis and Sensing Techniques (2 papers) and Acupuncture Treatment Research Studies (2 papers). Geng Song collaborates with scholars based in China and United States. Geng Song's co-authors include Kangsheng Gu, Zhendong Chen, Fuxing Xiong, Hu Liu, Yueyin Pan, Guobing Xu, Guoping Sun, Tao Qin, Guoping Sun and Qi Song and has published in prestigious journals such as British Journal of Pharmacology, Life Sciences and Cancer Epidemiology Biomarkers & Prevention.

In The Last Decade

Geng Song

13 papers receiving 393 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Geng Song 251 110 92 92 52 13 406
E Travaglio 247 1.0× 79 0.7× 129 1.4× 50 0.5× 77 1.5× 9 384
M. Di Lena 294 1.2× 96 0.9× 132 1.4× 70 0.8× 89 1.7× 8 406
Lukas Bregy 333 1.3× 202 1.8× 177 1.9× 42 0.5× 25 0.5× 20 479
Andrea Trové 237 0.9× 48 0.4× 59 0.6× 81 0.9× 20 0.4× 10 408
Nora Nowak 304 1.2× 165 1.5× 147 1.6× 78 0.8× 14 0.3× 14 460
Fanis Buljubasic 106 0.4× 19 0.2× 195 2.1× 36 0.4× 35 0.7× 7 464
Brian M. Paddle 57 0.2× 10 0.1× 187 2.0× 44 0.5× 4 0.1× 19 438
Sang Hun Lee 257 1.0× 13 0.1× 103 1.1× 76 0.8× 156 3.0× 11 446
Katja Jachau 21 0.1× 21 0.2× 130 1.4× 39 0.4× 3 0.1× 26 467
Raja N. Khuri 49 0.2× 12 0.1× 251 2.7× 49 0.5× 4 0.1× 32 434

Countries citing papers authored by Geng Song

Since Specialization
Citations

This map shows the geographic impact of Geng Song's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Geng Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geng Song more than expected).

Fields of papers citing papers by Geng Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Geng Song. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Geng Song. The network helps show where Geng Song may publish in the future.

Co-authorship network of co-authors of Geng Song

This figure shows the co-authorship network connecting the top 25 collaborators of Geng Song. A scholar is included among the top collaborators of Geng Song based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Geng Song. Geng Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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